Continuance Intention of Mobile Payment: TTF Model with Trust in an African Context

Franque, Frank Bivar; Oliveira, Tiago; Tam, Carlos

doi:10.1007/s10796-022-10263-8

Cited by 29 publications

(15 citation statements)

References 83 publications

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“…That said, the COVID-19 pandemic-related lockdown forced many small retailers in India to use digital payment platforms. It remains to be seen whether retailers will continue to use mobile payment systems in the post-pandemic era (Franque et al 2022). Therefore, this study attempted to understand the motivational and social cognitive factors that are responsible for predicting small retail owners' intent to use mobile payment systems following the COVID-19 lockdowns.…”

Section: Discussionmentioning

confidence: 99%

Investigating and Predicting Intentions to Continue Using Mobile Payment Platforms after the COVID-19 Pandemic: An Empirical Study among Retailers in India

Jena

2022

JRFM

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The Indian retail industry has registered tremendous growth recently. The sudden emergence of Coronavirus Disease 2019 (COVID-19) and the related measures that were taken by the authorities to curb the pandemic have compelled retailers and their consumers to transact using digital platforms. This study investigates the critical precursors to retailers’ behavioral intention to use mobile platforms for their business transactions in the post-pandemic era. This study adopted a framework that combined the theory of planned behavior (TPB) and self-determination theory (SDT) to predict behavioral intentions. A hybrid approach combining partial least squares structural equation modeling (PLS-SEM) and artificial neural network (ANN) techniques was used to test and validate the proposed framework. Four hundred and ninety-six participants from different central Indian cities participated in the study. PLS-SEM results confirmed that the motivational factors (need satisfaction [NS] and need frustration [NF]) significantly influence the attitude (AT), subjective norms (SN), perceived behavioral control (PBC), and behavioral intention (BI). Furthermore, the findings also established the partial mediating effect of AT, SN, and PBC on the relationship between motivational construct (NS and NF) and BI. Finally, the relationship established by SEM was successfully validated by ANN in the existence of a nonlinear relationship in the data. The findings may help retail stakeholders to support retail owners in their pursuit to continue using mobile payment systems in the post-COVID-19 world.

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Section: Discussionmentioning

confidence: 99%

Investigating and Predicting Intentions to Continue Using Mobile Payment Platforms after the COVID-19 Pandemic: An Empirical Study among Retailers in India

Jena

2022

JRFM

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“…According to TTF theory, adoption behavior depends partially on how well a technology fits the requirements of a particular task. If a technology matches the task it supports, it will be adopted (Franque et al 2022 ). The factors determining the success of technology-task-fit and system applications include the characteristics of tasks, technologies, and individual users.…”

Section: Hypotheses Development and Model Designmentioning

confidence: 99%

Understanding the adoption context of China’s digital currency electronic payment

2023

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Central banks worldwide have started researching and developing central bank digital currencies (CBDCs). In the digital economy context, concerns regarding the integrity, competition, and privacy of CBDC systems have also gradually emerged. Against this backdrop, this study aims to evaluate users’ willingness to use China’s digital currency electronic payment (DCEP) system, a digital payment and processing network, and its influencing factors by comprehensively considering and comparing the characteristics of cash and third-party payment services. Combining the push-pull-mooring framework (PPM) and task-technology fit (TTF) theory, we discuss the scenarios and mechanisms that may inspire users’ DCEP adoption intention through an empirical study. The results reveal that privacy concerns regarding the original payment methods and technology-task fitting level of DCEP positively impact users’ willingness to adopt DCEP. The technical characteristics of DCEP, users’ payment requirements, and government support positively affect users’ adoption intention by influencing the task-technology fitting degree of DCEP. Switching cost significantly and negatively impacts adoption intention, whereas relative advantage exhibits no significant effect. This research contributes to a better understanding of the factors that influence switching intentions and the actual use of DCEP, and provides policy guidance on promoting the efficiency and effectiveness of DCEP.

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“…Furthermore, these theoretical models/frameworks also support a distinct set of determinants for evaluating the adoption or use of technological innovation, highlighting the importance of examining the determinants of m-commerce by retailers using the Task-Technology Fit (TTF) model. Although, TTF is applied to evaluate consumers' innovation adoption or use because of its coherent structure (Klopping & McKinney, 2004;Wang et al, 2021;Zhang et al 2021;Franque et al 2022), TTF has been one of the earlier models used to explore and test the use of new technologies in organisations (Lee, Cheng & Cheng, 2007;Yen, Wu, Cheng & Huang, 2010;Yuan, Archer, Connelly & Zheng, 2010;Shih & Chen, 2013). It is predicated on the premise that the absence of technological functions capable of meeting a business' task requirements indicates a mismatch between technology and business-related tasks.…”

Section: Entrepreneurship and Sustainability Issuesmentioning

confidence: 99%

“…Mobile commerce (m-commerce) is an innovation that enables businesses to sell products or services via mobile technologies (Liang & Wei, 2004:7;Gitau & Nzuki, 2014:88), that is, using a wireless business model. The use of this innovation in the retail sector has caught the attention of scholars and retail practitioners (Chen, 2017:5793;Kamble, Gunasekaran, Parekh & Joshi, 2019:154;Verhoef, Kannan & Inman, 2015:179;Franque et al, 2022). However, despite the growth of m-commerce in many economies (Zhao, 2016;Chen, 2017;Chau & Deng, 2018, Finotto Christine & Procidano, 2020, there is still considerable debate about the determinants of…”

Section: Introductionmentioning

confidence: 99%

Task-technology fit perspective of the use of m-commerce by retail businesses

Justino¹,

Tengeh²,

Twum-Darko³

2022

JESI

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Mobile commerce (m-commerce) has gradually increased in popularity among small and medium-sized retail businesses in developing countries in recent years. As a result, scholars and retail practitioners have been eager to understand better the factors that influence this new mobile channel usage. The article examines the primary determinants of retail personnel's use of m-commerce in Angola through the theoretical lens of Task-Technology Fit (TTF). This study followed a cross-sectional design and adopted the positivist research paradigm. As such, a structured questionnaire was used to collect data from retail business personnel and actual users of m-commerce (n = 229). Structural Equation Modeling (SEM) analysis was performed on the data collected using the Analysis of Moment Structures (AMOS) software. The findings indicated a strong correlation between the four dimensions of task characteristics (i.e., time criticality, mobility, non-routineness, and interdependence) and the task-technology fit dimensions. Additionally, it was determined that there is a strong correlation between the functionalities of m-commerce systems (i.e., Mobile Notification, Mobile Information Exchange, Mobile Information Search, and Mobile Data Processing) and the TTF dimensions. In comparison, the study discovered a minimal correlation between task-technology fit as correspondence and m-commerce use. As a result, some directions for future research were provided.

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Continuance Intention of Mobile Payment: TTF Model with Trust in an African Context

Cited by 29 publications

References 83 publications

Investigating and Predicting Intentions to Continue Using Mobile Payment Platforms after the COVID-19 Pandemic: An Empirical Study among Retailers in India

Investigating and Predicting Intentions to Continue Using Mobile Payment Platforms after the COVID-19 Pandemic: An Empirical Study among Retailers in India

Understanding the adoption context of China’s digital currency electronic payment

Task-technology fit perspective of the use of m-commerce by retail businesses

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